SAAD LISSANE ELHAQ
@univh2c.ma
ENSEM
Hassan II University
RESEARCH INTERESTS
supply chain management
Modeling, simulation and optimization
artificial intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Bilal Abdellaoui, Hamid Ech-cheikh, Mohammed Sadik, Ahmed Rachid, Saâd Lissane Elhaq, and Adnane Mounadel
Springer Science and Business Media LLC
Abdeltif Boujamza, Saâd Lissane Elhaq, and Ahmed Loukili
IEEE
The precise prediction of petroleum product traffic holds vital significance for optimizing maritime operations and allocating resources efficiently within the industry. This research evaluates the performance of three distinct machine learning models, namely Extra Trees, K-Nearest Neighbors, and Decision Tree, and introduces an ensemble forecasting methodology to augment the accuracy of predicting traffic volume for petroleum products at an oil terminal. The investigation employs a two-year dataset derived from oil and gas tankers at Mohammedia port for analysis. Empirical findings reveal that the ensemble learner model surpasses the individual models in predicting traffic volume for petroleum products, demonstrating enhanced accuracy across both test and validation datasets.
Youssef Meliani, Yasmina Hani, Saâd Lissane Elhaq, and Abderrahman El Mhamedi
IEEE
The recent rise of urbanization and population, as well as the emergence of Just In Time (JIT) manufacturing strategy, have driven businesses such as distribution firms and logistic service providers into major problems. This results in traffic congestion and high competition between companies. This paper outlines how operations research methodologies are used to guide the decision-making process and improve operational efficiency in distribution tasks. It treats a complex routing problem faced by a Tunisian ice distribution firm called LE GLACON. This problem may be defined as a Heterogeneous Fleet Vehicle Routing Problem (HFVRP). We tackle the problem using a two-phase Tabu Search (TS) algorithm. Based on the company’s case study, the resulting distribution plan from our approach shows remarkable cost savings compared to their handcrafted approach. Moreover, the approach converges fast, allowing the logistic planner to focus on higher-value activities.
Bilal Abdellaoui, Hamid Ech-cheikh, Mohammed Sadik, Ahmed Rachid, Saâd Lissane Elhaq, and Adnane Mounadel
Springer Science and Business Media LLC
Hind Lafquih, Issam Krimi, and Saad Lissane Elhaq
Institute of Electrical and Electronics Engineers (IEEE)
Adnane Mounadel, Hamid Ech-Cheikh, Saâd Lissane Elhaq, Ahmed Rachid, Mohamed Sadik, and Bilal Abdellaoui
Informa UK Limited
Youssef Meliani, Yasmina Hani, Sâad Lissane Elhaq, and Abderrahman El Mhamedi
Elsevier BV
Hind Lafquih, Saad Lissane Elhaq, Issam Krimi, and Mouna Berquedich
Emerald
PurposeAccording to United Nations reports, the worldwide population is expected to reach around 9.6 billion by 2050. This forecasting emphasizes the role of phosphate-based fertilizers for developing sustainable agriculture and ensures the demand all over the planet. From this perspective, phosphate companies are racing to improve their industrial performance and guarantee the quality, reliability and integrity of information efficiently. The purpose of this paper is to propose a traceability system framework that ensures product quality tracing and real-time operations monitoring for open-pit mines.Design/methodology/approachThe authors develop a hybrid approach that integrates Business Process Model and Notation techniques with System Modeling Language to formalize several use cases and scenarios to model quality traceability processes related to open-pit mines. This framework also embeds an optimization module based on mathematical modeling approaches to optimize stockpiles’ movement and respect the distinction between different qualities.FindingsThis paper explains a successful implementation of a quality traceability tool for an African mining company. The research team was able to understand and scale down the problem faced by the managers. Further, the study is focused on improving quality tracing over time and automatizing the current compliance processes related to the mine extraction activities. The proposed tool is proved highly effective in reducing the time of tracing quality claims by 46% compared with the manual procedure. Second, the implementation of this tool reduced fuel costs by 34% and CO2 emissions by 10%.Originality/valueThe originality of the contributions lies in four aspects: (1) adapting quality traceability concept for the mining industry; (2) assessing the current trends of traceability systems considering the mining industry context; (3) hybridizing business processes re-engineering, quality system and optimization modeling; and (4) using a real case study of a phosphate company to evaluate the framework.
Saâd Lissane El Haq and Fatima Ezzahra Cherqaoui
Inderscience Publishers
Sara Belaqziz, Fatima Bouyahia, Saâd Lissane Elhaq, and Jaouad Boukachour
Inderscience Publishers
Abdeltif Boujamza and Saad Lissane Elhaq
Elsevier BV
Hamid Ech-Cheikh, Saâd Lissane El Haq, and Abdessamad Douraid
International Information and Engineering Technology Association
Received: 27 August 2021 Accepted: 3 December 2021 All over the world, the ports container terminals face several challenges, one of these challenges is to prevent and manage the risks that may occur. These risks, if not well managed, can affect the overall operation of the ports and also can lead to brutal accidents. In this paper we spot the light on the risks of a container terminal in order to conduct a risk assessment by using a mapping risk approach. This mapping approach is carried out to rank the risks by taking into account their specific criticality index and their influence to a port’s safety. The data was collected from the container terminal of Tangier-Med port of Morocco. Then, the quantitative calculations were made in the aim to compare the results obtained with acceptable standards, and then use them to propose measures reducing or mitigating these risks.
Youssef Meliani, Yasmina Hani, Sâad Lissane Elhaq, and Abderrahman El Mhamedi
Elsevier BV
Ahmed Loukili, Fatima Ezzahra Cherqaoui, and Saâd Lissane Elhaq
Inderscience Publishers
Hafsa El-kaime and Saad Lissane Elhaq
Springer International Publishing
Youssef Meliani, Saad Lissane Elhaq, Yasmina Hani, and Abderahman el Mhamedi
IEEE
Vehicle Routing Problems (VRPs) attract attention of combinatorial optimization research literature, for they are NP-hard. An important variant of a VRP formulation is the so-called Heterogeneous Fleet VRP (HFVRP), where the volume of transported items cannot exceed vehicle's type capacity and the fleet of vehicles is considered heterogeneous. In practice, one often has to be able to verify, whether a given sequence of items really fits into the vehicle space loading or not. This requirement is referred to as a loading capacity constraint. We assume here, that the layout of items in vehicles is also constrained. In particular, in this paper, we highlight the impact of 3D loading on VRP solutions as in real-life practices.
Fatima Ezzahra Cherqaoui and Saad Lissane Elhaq
IEEE
According to several research the implementation of lean brings important profits consequently progressively more Moroccan SMEs are oriented to pick this assistance from national supporting programs; however, the presence of issues prohibits the beneficiation and causes the drop of implemented practices. This article aims to investigate the status of some Moroccan small and medium enterprises SMEs which adopt the proposed program of Moroccan initiative of performances improvements INMAA by the implementation of lean manufacturing. The results show the level of each practice and the faced issues that could be avoid by the proposed framework of supporting programs for a sustainable lean manufacturing implementation in SMEs.
Mariem Boujlil and Saad Lissane Elhaq
IEEE
Our paper presents the first trial to make a review dedicated for the vehicle routing problem with time window and stochastic demands (VRPTW-SD). Since 1997, when Ong et al. [39] introduced the VRPTW-SD, no specific review was established to deal with this variant of the vehicle routing problem (VRP). Due to the fast evolution in the urban freight transport, the VRPTW-SD gained more attention, and tends to be considered as a respond to the need of a practical mathematical solution of the VRP, which takes into account two most important variables: time window and customer's demand. This work treats the VRP literature and presents a state of art of the VRP with time window (VRPTW) and the VRP with stochastic demands (VRPSD), which are the two aim elements to understand the advancement in this field, and highlight the importance of joining a deterministic problem with a stochastic one such as the VRPTW-SD.
Tahar Hallabi, Ibtissam Lachkar, and Saad Lissane Elhaq
IEEE
In this work, we propose nonlinear control for three-phase active power filter (APF) to compensate reactive and harmonic power generated by the linear, nonlinear, and nonlinear unbalanced load. The proposed control strategy direct power control (DPC) uses the concept of direct control for active power (DCAP) to extract the harmonic power generated by the nonlinear load and the reference value of the active power. Based on the average model of the (APF) system, we have used the Back-stepping technic to elaborate the power’s regulator and integrative-proportional (PI) regulator to regulate the voltage DC-link capacitor. Moreover, in this study, we supposed that the grid source voltage is not accessible to the measurement and the reactance of the network, not nil, in order to render better the control performance. For that, we have developed a Luenberger observer to estimate the source voltage of the network. The control objective of this work is threefold. i) the APF must compensate the reactive and deformed power generated by the loads, ii) maintain the DC bus voltage stable. Moreover, iii) the observer must provide the estimate instantaneous value of the grid source voltage. The simulation result using the Matlab/Simulink environment shows that the control strategy succeeds to improve power quality with various load conditions.
Bourrich Leila and Lissane Elhaq Saad
IEEE
the pick-up of parcels presents the upstream link of the urban freight transportation chain, it is based on pick-up routes by responding to customer requests. Each transport company has its own management model. For this link, whose main objective is to maximize pick-up requests and satisfy a very demanding clientele. In Morocco, this process knows a large number of difficulties due to several criteria linked to customers satisfaction’s factors. These difficulties make the transportation companies losing every year an important rate of their customers. In literature, this problem has not been studied before, for this reason our objective is the proposition of an efficient model that helps to know a global vision on the customer’s behavior in relationship with this kind of transportation. Then the prediction of the pick-up requests for each customer during a specific period to finally optimize the routing vehicle problem associated to our case study. In this paper, we explore the effect of the classification of customers per categories, by using the K-means clustering method. This solution will help to group our dataset composed by 256 customers from Moroccan Transportation Company. Where their kind of demand is intermittent. This classification is into N clusters with specific characterizes. Thanks to this method, we find as a result that the number of cluster K=4 is the optimal classification of our dataset and their gathering by cluster which each one had specific characteristics.
Youssef Meliani, Yasmina Hani, Sâad Lissane Elhaq, and Abderrahman El Mhamedi
Elsevier BV
Youssef Meliani, Saad Lissane Elhaq, Yasmina Hani, and Abderahman El Mhamedi
IEEE
This paper capitalizes some fundamental aspects of the Tabu Search (TS) as a strategy for combinatorial optimization problems, especially Vehicle Routing Problems (VRP) for urban good distribution. in the last 2 decades or so, TS has proven his efficiency in treating different variants of VRP. The current study addresses the basic components and procedures of any TS, such as, the local search, the adaptive memory and the processes for intensifying and diversifying the search. Furthermore, an overview of pertinent works on TS related to VRP is provided. Latterly, the impact of each parameter on the performance of a given process of the TS is also evaluated by a proposed TS heuristic.
Oubihi Meryem, Lissane Elhaq Saad, Khafallah Mohamed, and Jawab Fouad
IEEE
Urban Freight Transport is a vital activity and has a major economic role. Unfortunately, the efficiency of the urban freight system is hampered by urban distribution issues such as congestion, regulatory measures, noise pollution, greenhouse gas emissions, and so on. Hence the need for actions and good practices for the management of urban freight transport. These actions deal with the management of goods deliveries as well as return flows. Urban logistics solutions are diverse and concern the storage and organization of urban transport. Urban warehousing actions are divided into four categories. The Urban Consolidation Centers (UCC), a kind of mutualization platform located on the outskirts of the city center. Proximity Logistics Spaces (PLS) which are small platforms that allow a temporary storage of goods and have clean vehicles ensuring the last meters. Afterwards the Veh]icle Reception Points (VRP) where city center's actors offer a storage capacity of their own store and it is the consumer who moves for recovering its packages, and finally the Urban Logistics Boxes (ULB) which are mobile or fixed structures located at a street level, which allow temporary storage of goods. These Urban Logistics Spaces lead to the improvement of the flow of goods by favoring clean vehicles. The objective of this article is to study the different solutions of urban logistics, based on the literature, to make a comparative study of the development of urban logistics solutions in emerging cities comparable to Casablanca, to synthesize the experiments implemented by these cities and thus to lead an investigation on different urban solutions in a national context.
Hind Lafquih, Saad Lissane Elhaq, Khalid Kouiss, and Laurent Deshayes
IEEE
This work focuses on maintenance in the mining industry through a given case of study. In general, the maintenance cost may represent up to 40 – 50 percent of the total operating cost and especially in phosphate mines [1]. The pressure to reduce this cost is permanent and one of the ways of optimization is to focus on maintenance data management during the planning and execution. In fact, transparency and real-time information for the stakeholders of maintenance activities are important in the mining industry context. Given the complexity of the problem, we decided to apply the system engineering (SE) methodology using the SysML modeling language to contribute to better management of maintenance workshop activities. The proposed models have been verified based upon the Moroccan phosphate mine case. The utility of the proposed solutions can clearly be observed through this case of study.
Youssef El Mokaddem, Fouad Jawab, and Lissane Elhaq Saad
IEEE
The difference in the level of growth between developed and developing countries in terms of ITS applications contributes to a gap in studies performed in these nations that are progressing over time. The aim of this research paper is to conduct systematically review current challenges and success Factors of Intelligent Transportation Systems applications in developing countries. To achieve our objective, we systematically searched and analyzed the English and French languages literature indexed in Scopus and Web of Science (From 2010 to 2018), including studies identified by experts. The study selection focused on articles that provided several valuable insights in the form of challenges and success factors of ITS applications in developing countries. We have summarized the result in form of two tables that groups the key challenges and success factor cited in literature. This study is a follow-up to a published article covering the scope of leading ITS countries. The findings will enable researchers as well as practitioners to have a clear understanding of how ITS were implemented in developing countries and the types of challenges and success factors that have been identified by region.